Job Description
Location: Remote (Singapore-based team)
Employment Type: Full-time
About the Role
Our client is seeking an experienced Senior Data Engineer to join a government-backed health technology organisation based in Singapore. You will play a key role in building and scaling data platforms that power next-generation digital healthcare services, enabling patients to securely consult healthcare professionals within their own country.
Working alongside software engineers, AI engineers, product managers and platform teams, you will design and build highly scalable, real-time data pipelines that support analytics, machine learning and AI-powered healthcare applications.
This is an opportunity to work on large-scale, mission-critical systems that have a direct impact on healthcare accessibility and patient outcomes.
Responsibilities
- Design, develop and maintain scalable batch and real-time data pipelines.
- Build robust data ingestion frameworks from multiple internal and external data sources.
- Develop streaming data solutions using Apache Kafka.
- Design high-performance ETL/ELT pipelines and data processing workflows.
- Build and optimise data lakes and modern data platform architectures.
- Collaborate with AI and Machine Learning teams to prepare and deliver high-quality datasets for model training and inference.
- Integrate Large Language Models (LLMs) into enterprise data workflows and AI applications.
- Support video analytics platforms by building data pipelines for video metadata, event processing and AI-generated insights.
- Ensure data quality, governance, security and regulatory compliance across the platform.
- Optimise database performance, storage and query execution.
- Monitor production data pipelines and troubleshoot performance bottlenecks.
- Collaborate with cross-functional engineering teams throughout the software development lifecycle.
- Mentor junior engineers and contribute to engineering best practices.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems or a related discipline.
- 6+ years of professional experience as a Data Engineer.
- Strong experience building large-scale distributed data platforms.
- Hands-on experience with Apache Kafka and real-time event streaming architectures.
- Strong programming skills in Python and SQL.
- Experience with Spark or other distributed data processing frameworks.
- Experience building cloud-native data platforms on AWS, Azure or Google Cloud.
- Strong understanding of data modelling, data warehousing and data lake architectures.
- Experience developing ETL/ELT pipelines for structured and unstructured data.
- Experience working with REST APIs and microservices.
- Familiarity with Docker and Kubernetes.
- Experience with CI/CD and Infrastructure as Code.
Preferred Experience
- Experience integrating Large Language Models (LLMs) into enterprise applications.
- Experience implementing Retrieval-Augmented Generation (RAG) pipelines.
- Experience working with vector databases and embeddings.
- Experience supporting AI and Generative AI platforms.
- Experience building data pipelines for video analytics, computer vision or multimedia processing systems.
- Experience with healthcare, digital health or regulated industries is advantageous.
- Familiarity with data governance, privacy and security best practices.
What You’ll Bring
- Strong analytical and problem-solving skills.
- Ability to work independently in a remote environment.
- Excellent communication and collaboration skills.
- Passion for building scalable data platforms that solve real-world problems.
- A continuous learning mindset with an interest in AI and emerging technologies.
Why Join
- Work on meaningful technology that improves healthcare access.
- Join a government-backed digital health initiative.
- Build modern AI-powered data platforms using the latest technologies.
- Collaborate with experienced engineering and AI teams.
- Flexible remote working environment.
- Competitive salary and benefits.
